Quantum Bridge Analytics I: a tutorial on formulating and using QUBO models

F Glover, G Kochenberger, Y Du - 4or, 2019 - Springer
Abstract Quantum Bridge Analytics relates generally to methods and systems for hybrid
classical-quantum computing, and more particularly is devoted to develo** tools for …

Parallel quantum annealing

E Pelofske, G Hahn, HN Djidjev - Scientific Reports, 2022 - nature.com
Quantum annealers of D-Wave Systems, Inc., offer an efficient way to compute high quality
solutions of NP-hard problems. This is done by map** a problem onto the physical qubits …

[HTML][HTML] Data-driven optimal sensor placement for high-dimensional system using annealing machine

T Inoue, T Ikami, Y Egami, H Nagai… - … Systems and Signal …, 2023 - Elsevier
We propose a novel method for solving optimal sensor placement problem for high-
dimensional system using an annealing machine. The sensor points are calculated as a …

Implementation of quantum annealing: A systematic review

LP Yulianti, K Surendro - IEEE Access, 2022 - ieeexplore.ieee.org
Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations …

Ready to leap (by co-design)? join order optimisation on quantum hardware

M Schönberger, S Scherzinger… - Proceedings of the ACM on …, 2023 - dl.acm.org
The prospect of achieving computational speedups by exploiting quantum phenomena
makes the use of quantum processing units (QPUs) attractive for many algorithmic database …

Solving larger maximum clique problems using parallel quantum annealing

E Pelofske, G Hahn, HN Djidjev - Quantum Information Processing, 2023 - Springer
Quantum annealing has the potential to find low energy solutions of NP-hard problems that
can be expressed as quadratic unconstrained binary optimization problems. However, the …